We barely understand how memory consolidation works, let alone digitizing consciousness. The confidence on this is… something haha.
ETHICS
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AI Agents Bank Access Trust and Security Concerns
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An AI agent with direct access to your bank accounts feels like we're speedrunning the trust conversation haha.
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OpenAI’s Path to Automated AI Researcher by 2028
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Compute powers every layer of AI, and the investments we’ve made mean we can run more promising research experiments, train more capable models, and support broader access. @merettm talks about our progress building an automated AI researcher and what’s ahead as AI can take on… https://t.co/zM7iFZYAsK
— OpenAI Newsroom (@OpenAINewsroom) 9 avril 2026Compute powers every layer of AI, and the investments we’ve made mean we can run more promising research experiments, train more capable models, and support broader access. @merettm talks about our progress building an automated AI researcher and what’s ahead as AI can take on harder and harder problems. Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m
→ View original post on X — @ceobillionaire, 2026-04-09 23:39 UTC
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Knowledge Power Paradox in AI Era
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Knowledge is not power, but it's not exactly not-power either.
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AI Revolutionizes Medical Diagnosis and Relieves Doctor Burnout
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AI is spotting polyps in colonoscopies in real time, cutting missed cancers by up to 50%. Multi-agent systems are predicting risks earlier than ever — from pediatric developmental issues to heart failure. We're not replacing doctors. We're finally giving them time to be doctors again. The burnout relief + better outcomes combo? Game-changing. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-09 22:27 UTC
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Misunderstanding Current Neuroscience Reality in AI Discussion
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Also not a sign of someone who has any clue about the realities of current neuroscience.
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Conspiracy theorist leads world: implications for AI governance
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You know that crazy uncle with those unhinged, vicious, low-IQ, bigoted, third-rate tabloid conspiracy theories that shows up for all family gatherings and everyone is trying to avoid? Yeah, that guy is in charge of the whole world now.
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Comparing Ethics and Positive Impact Between Former Employers
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The levels of ethics and positive impact of my former employer are similar to those of your former employer.
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X Algorithm Transparency and Platform Bias Concerns
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The 𝕏 algorithm is open source and updated frequently, but you do not point to any alleged bias or suggest corrections, choosing instead to leave for platforms that everyone knows have a strong bias for political correctness, which just another way of saying “lies”. You used
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ChatGPT’s Deceptive Practices and Ethical Concerns Criticized
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The sycophantic approach of ChatGPT, which maximizes the money they make by lying to users and agreeing with their dangerous delusions, needs to stop!